Home
 > search for

Featured Documents related to »  us statistical data


Captured by Data
The benefits case for enterprise asset management (EAM) has been used to justify huge sums in EAM investment. But to understand this reasoning, it is necessary

us statistical data  National Technical Information Service, US Department of Commerce) Critical failures are, by their very nature, serious. When they occur they are often designed out, or a replacement asset is installed, or some other initiative is put in place to ensure that they don't recur. As a result, the volume of data available for analysis is often small, and therefore the ability of statistical analysis to deliver results within a high level of confidence is questionable at best. This fundamental fact of managing Read More

Business Intelligence (BI)
Business intelligence (BI) and performance management applications enable real-time, interactive access, analysis, and manipulation of mission-critical corporate information. These applications pro...
Start evaluating software now
Country:
 Security code
Already have a TEC account? Sign in here.
 
Don't have a TEC account? Register here.

Documents related to » us statistical data


Evoke Software Releases Axio Data Integration Product
Evoke Software Corporation has announced the release of Axio™, an e-business integration product designed to web-enable multiple different data sources into a

us statistical data  the repository. Source Profiler: Uses source code and sample data from corporate systems to prepare for import. Import: Extracts data from relational, VSAM, and IMS data sources. FTM: Fixed Target Mapping module , to map data sources to packaged systems, i.e., CRM and ERP, where the target schema can't be created with the Design module. An XML module to structure XML transactions from corporate data is in development and expected in Q4 of 2000. In meetings with TEC, we were impressed with Mr. Edwards' Read More
Asset Data for Accurate Lifecycle Management
Among the areas where modern enterprise asset management (EAM) systems provide substantial benefits is the driving out of inefficiencies in business processes

us statistical data  and can also be used in statistical models regarding asset degradation and predictions of capital spend requirements. By the inclusion of these outputs of an RCM analysis, asset managers can use the results with increasing confidence as predictors of whole-of-life cost profiles, and end-of-life points. Preventive Maintenance Where predictive maintenance tasks cannot be applied, for whatever reason, the next two options on either side of the decision diagram are preventive maintenance tasks. These are Read More
Data Management and Analysis
From a business perspective, the role of data management and analysis is crucial. It is not only a resource for gathering new stores of static information; it

us statistical data  and Analysis From a business perspective, the role of data management and analysis is crucial. It is not only a resource for gathering new stores of static information; it is also a resource for acquiring knowledge and supporting the decisions companies need to make in all aspects of economic ventures, including mergers and acquisitions (M&As). For organizational growth, all requirements and opportunities must be accurately communicated throughout the value chain. All users—from end users to data profes Read More
The Necessity of Data Warehousing
An explanation of the origins of data warehousing and why it is a crucial technology that allows businesses to gain competitive advantage. Issues regarding

us statistical data  Necessity of Data Warehousing The Necessity of Data Warehousing M. Reed - August 2, 2000 Why the market is necessary Data warehousing is an integral part of the information age . Corporations have long known that some of the keys to their future success could be gleaned from their existing data, both current and historical. Until approximately 1990, many factors made it difficult, if not impossible, to extract this data and turn it into useful information. Some examples: Data storage peripherals such Read More
Understanding the PCI Data Security Standard
The payment card industry data security standard (PCI DSS) defines a comprehensive set of requirements to enhance and enforce payment account data security in a

us statistical data  the PCI DSS contact us at (866) 460-0000 or visit us at www.messagelabs.com . Searches related to Understanding the PCI Data Security Standard : Data Security | Data Security Architecture | Data Security Articles | Data Security Audit | Data Security Breaches | Data Security Companies | Data Security Compliance | Data Security Concerns | Data Security Coordinator | Data Security Definition | Data Security Experts | Data Security Handbook | Data Security Incident | Data Security Incorporated | Data Read More
Metagenix Reverse Engineers Data Into Information
Metagenix’ MetaRecon reverse engineers metadata information by examining the raw data contained in the source(s) rather than depending on the data dictionaries

us statistical data  formerly known as Informix Business Solutions after Informix decided to split their product lines in 2000, basically between database products and business solutions products. IBS did not officially become Ascential until January 15, 2001. It was a circuitous process, but DataStage remains a market leader.) MetaRecon 2.5 also includes support for ETL products from Informatica . The latest development on the MetaRecon front is support for UNIX as a server platform (currently on Sun Solaris, HP/UX, and Read More
The Teradata Database and the Intelligent Expansion of the Data Warehouse
In 2002 Teradata launched the Teradata Active Enterprise Data Warehouse, becoming a key player in the data warehouse and business intelligence scene, a role

us statistical data  Expansion of the Data Warehouse In 2002 Teradata launched the Teradata Active Enterprise Data Warehouse, becoming a key player in the data warehouse and business intelligence scene, a role that Teradata has maintained until now. Teradata mixes rigorous business and technical discipline with well-thought-out innovation in order to enable organizations to expand their analytical platforms and evolve their data initiatives. In this report TEC Senior BI analyst Jorge Garcia looks at the Teradata Data Read More
Data Enrichment and Classification to Drive Data Reliability in Strategic Sourcing and Spend Analytics
Spend analytics and performance management software can deliver valuable insights into savings opportunities and risk management. But to make confident

us statistical data  you need more than just software—you also need the right data. This white paper discusses a solution to help ensure that your applications process reliable data so that your spend analyses and supplier risk assessments are accurate, trustworthy, and complete. Read More
Deploying High-density Zones in a Low-density Data Center
New power and cooling technology allows for a simple and rapid deployment of self-contained high-density zones within an existing or new low-density data center

us statistical data  mission of creating delighted customers. To do this, the Company focuses its efforts on four primary application areas: Home/Small Office; Business Networks; Data Centers and Facilities; and Access Provider Networks. Source : APC Resources Related to Deploying High-Density Zones in a Low-Density Data Center : Data center (Wikipedia) Deploying High-Density Zones in a Low-Density Data Center High-Density Zones is also known as : High-Density Zones , Low-Density Data Center , Data Center Cooling Density Read More
Addressing the Complexities of Remote Data Protection
As companies expand operations into new markets, the percentage of total corporate data in remote offices is increasing. Remote offices have unique backup and

us statistical data  of Remote Data Protection Because data protection is a concern for organizations of all sizes, IBM offers remote data protection for the enterprise, as well. This high performance and easy-to-use service delivers consistent and cost-effective data protection without increased network investment. Source: IBM Resources Related to Addressing the Complexities of Remote Data Protection : Continuous Data Protection (CDP) (Wikipedia) Addressing the Complexities of Remote Data Protection Remote Data Protection Read More
Big Data, Little Data, and Everything in Between—IBM SPSS Solutions Help You Bring Analytics to Everyone
Regardless of the type or scale of business data your users need to harness and analyze, they need a straightforward, visual solution that is easy to use on the

us statistical data  type or scale of business data your users need to harness and analyze, they need a straightforward, visual solution that is easy to use on the front end and highly scalable on the back end. Fortunately, IBM SPSS solutions provide just such an ecosystem that can make different kinds of data stores—from Hadoop to those proverbial spreadsheets—useful sources of business insight and decision support. Read More
Network Data Protection Playbook: Network Security Best Practice for Protecting Your Organization
Malicious hacking and illegal access are just a few of the reasons companies lose precious corporate data every year. As the number of network security breaches

us statistical data  the Network: More Than Just Encryption Real-World Data Protection Scenarios Protecting Data Storage Protecting Data Over Third-Party Networks Securing Sensitive Virtual Networks Protecting Wireless End-to-End Three-Step Deployment Roadmap Step 1: Address Primary Network Security Threats Step 2: Expand and Extend Data Protection Step 3: Scale to Enterprise-Wide Data Protection Compliance-Grade™ Data Protection Solutions About CipherOptics Introduction The enterprise network is growing more complex and Read More
Governance from the Ground Up: Launching Your Data Governance Initiative
Although most executives recognize that an organization’s data is corporate asset, few organizations how to manage it as such. The data conversation is changing

us statistical data  data governance,data governance best practices,data governance model,data governance institute,what is data governance,data governance framework,data governance roles and responsibilities,data governance definition,data governance strategy,data governance software,data governance conference 2010,data governance maturity model,master data governance,data governance tools,data governance charter Read More
Tailoring SAP Data Management for Companies of All Sizes
The need for accurate data management such as upload or download of data between a company’s data sources and SAP systems is more critical than ever. Users are

us statistical data  more critical than ever. Users are relying on manual operations, which are inherently error-prone, and time- and resource-intensive. Today's environment requires enterprise-class automation to overcome these challenges of data management. Learn about one solution that can help improve SAP data management. Read More

Recent Searches
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z Others